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Reliability and risk models setting reliability requirements / Michael T. Todinov, Oxford Brookes University, UK.

By: Material type: TextTextSouthern Gate, Chichester, West Sussex, United Kingdom : John Wiley and Sons, Inc., [2016]Description: xxii, 419 pages 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781118873328 (cloth)
Subject(s): LOC classification:
  • TA 169 .T65 2016
Summary: methods for improving reliability at no extra cost and building reliability networks for engineering systems. Includes: ΓÇóA unique set of 46 generic principles for reducing technical riskSummary: methods for optimal allocation of limited resources to achieve a maximum risk reductionSummary: ΓÇóA powerful equation for determining the probability of failure controlled by defects in loaded components with complex shapeSummary: ΓÇóComparative methods for improving reliability which do not require reliability dataSummary: ΓÇóImproving system reliability based solely on a permutation of interchangeable components. --Amazon.co.ukSummary: ΓÇóMethods for setting reliability requirements based on the cost of failureSummary: ΓÇóMonte Carlo simulation algorithms for improving reliability and reducing riskSummary: ΓÇóNew reliability measures based on a minimal separation of random events on a time intervalSummary: ΓÇóOptimal allocation of limited resources to achieve a maximum risk reductionSummary: ΓÇóOverstress reliability integral for determining the time to failure caused by overstress failure modesSummary: A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability
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Includes bibliographical references (pages 407-412) and index.

methods for improving reliability at no extra cost and building reliability networks for engineering systems. Includes: ΓÇóA unique set of 46 generic principles for reducing technical risk

methods for optimal allocation of limited resources to achieve a maximum risk reduction

ΓÇóA powerful equation for determining the probability of failure controlled by defects in loaded components with complex shape

ΓÇóComparative methods for improving reliability which do not require reliability data

ΓÇóImproving system reliability based solely on a permutation of interchangeable components. --Amazon.co.uk

ΓÇóMethods for setting reliability requirements based on the cost of failure

ΓÇóMonte Carlo simulation algorithms for improving reliability and reducing risk

ΓÇóNew reliability measures based on a minimal separation of random events on a time interval

ΓÇóOptimal allocation of limited resources to achieve a maximum risk reduction

ΓÇóOverstress reliability integral for determining the time to failure caused by overstress failure modes

A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability

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